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Studies in Big Data : Studies in Big Data - Robert Bembenik

Studies in Big Data

By: Robert Bembenik (Editor), Å?ukasz Skonieczny (Editor), Grzegorz Protaziuk (Editor)

Hardcover | 30 May 2018

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Nonlinear forecasting of energy futures.- Implementation of Generic Steering Algorithms for AI Agents in Computer Games.- The Dilemma of InnovationArticial Intelligence Trade-off.- Can we build recommender system for artwork evaluation?- Modelling OpenStreepMap data for determination of the fastest route under varying driving conditions.- Evolution algorithm for community detection in social networks using node centrality.- High Performance Computing By The Crowd.- Zero-overhead monitoring of remote terminal devices.- Asynchronous Specication of Production Cell Benchmark in Integrated Model of Distributed Systems.- Implementing the Bus Protocol of a Microprocessor in a Software-Dened Computer.- ISMIS 2017 Data Mining Competition: TradingBased on Recommendations - XGBoost approach with feature engineering.- Fast Discovery of Generalized Sequential Patterns.- Seismic attributes similarity in facies classication.- Ecient Discovery of Sequential Patterns from Event-Based Spatio-Temporal Data by Applying Microclustering Approach.- Unsupervised machine learning in classication of neurobiological data.- Incorporating Fuzzy Logic in Object-Relational Mapping Layer for Flexible Medical Screenings.- Multimodal learning determines rules of disease development in longitudinal course with Parkinson's patients.- Comparison of Methods for Real and Imaginary Motion Classication from EEG Signals.- Procedural Generation of Multilevel Dungeons for Application in Computer Games using Schematic Maps and L-system.- An HMM-Based Framework for Supporting Accurate Classication of Music Datasets.- Classication of musical genres by means of listening tests and decision algorithms.- Handwritten signature verication system employing wireless biometric pen.- Towards Entity Timeline Analysis in Polish Political News.- Automatic Legal Document Analysis: Improving the Results of Information Extraction Processes using an Ontology.- To improve, or not to improve; how changes in corpora inuence the results of machine learning tasks on the example of datasets used for paraphrase identication.- Context Sensitive Sentiment Analysis of Financial Tweets: A New Dictionary.

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Published: 5th January 2019

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